This is not the first AI tycoon to rejoin the academic circle. Malik Wei Ying, vice president of ByteDance and director of artificial intelligence laboratory, has returned to the academic circle as chairman Yan Hui and chief scientist of Tsinghua University Intelligent Industry Research Institute.
Li Feifei, Google's vice president and chief scientist of Google Cloud AI/ML, returned to academia as the co-director of Stanford University's People-oriented Institute of Artificial Intelligence (HAI). In 2020, he was elected as an academician of the National Academy of Engineering, the National Medical College and the American College of Arts and Sciences with 202 1. As for why I returned to academia, it can be summarized as follows:
Circle money in the rising period
Make money in a stable period
Scientific research in recession
In other words, in the rising period of the AI industry: leave the pedantic ivory tower, enter the Internet company, and earn hot money by taking shares;
The decline period of AI industry: escape from capitalist exploitation and enter the system to do research and send papers with peace of mind.
From the scientific research and academic point of view, the scope of scientific research is too large, the scope of application is too small, some time differences are too long, and some may only have theoretical value and no application scope. Enterprise scientific research has to face a lot of pressure, and Shanda Research Institute is a typical one.
The scientific research results of the school can be used by enterprises, which is a reverse flow, and the research of enterprises can achieve greater theoretical results. If enterprises don't use it at all, they will flow back to colleges and universities, forming a positive flow.
This kind of return is actually a good thing, indicating that the academic year is actively maintaining interconnection with the industry. If an academic doesn't understand what is happening in reality, it is really meaningless to just write something without any mistakes over and over again in the existing literature.
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